In this paper,a method sustaining system stability after decomposition is proposed.Based on the stability criterion derived from the energy function,a set of intelligent controllers is synthesized which is used to mai...In this paper,a method sustaining system stability after decomposition is proposed.Based on the stability criterion derived from the energy function,a set of intelligent controllers is synthesized which is used to maintain the stability of the system.The sustainable stability problem can be reformulated as a Linear Matrix Inequalities(LMI)problem.The key to guaranteeing the stability of the system as a whole is to find a common symmetrically positive definite matrix for all subsystems.Furthermore,the Evolved Bat Algorithm(EBA)is employed to replace the pole assignment method and the conventional mathematical methods for solving the LMI.The EBA is utilized to find feasible solutions in terms of the energy equation.The experimental results show that the EBA is capable of providing proper solutions,which satisfy the sustainability and stability criteria,after a short period of recursive computing.展开更多
文摘In this paper,a method sustaining system stability after decomposition is proposed.Based on the stability criterion derived from the energy function,a set of intelligent controllers is synthesized which is used to maintain the stability of the system.The sustainable stability problem can be reformulated as a Linear Matrix Inequalities(LMI)problem.The key to guaranteeing the stability of the system as a whole is to find a common symmetrically positive definite matrix for all subsystems.Furthermore,the Evolved Bat Algorithm(EBA)is employed to replace the pole assignment method and the conventional mathematical methods for solving the LMI.The EBA is utilized to find feasible solutions in terms of the energy equation.The experimental results show that the EBA is capable of providing proper solutions,which satisfy the sustainability and stability criteria,after a short period of recursive computing.
